What are the responsibilities and job description for the AI Agent Engineer position at Symbolica AI?
About Us
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines.
We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data.
Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.
Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning.
Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.
About The Role
We’re looking for an AI Agent Engineer – a software engineer with deep experience in ML, LLMs, and/or agentic systems – to help push the limits of our internal agent framework and shape its design.
You’ll work side-by-side with researchers, ML engineers, and leadership to turn ambitious ideas into real-world systems. Expect to move fast, handle ambiguity, and fill the critical execution gap between research and production.
📍 This is an onsite role based in our SF office (345 California St).
Your Focus
Read More About Symbolica
Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines.
We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data.
Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.
Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning.
Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.
About The Role
We’re looking for an AI Agent Engineer – a software engineer with deep experience in ML, LLMs, and/or agentic systems – to help push the limits of our internal agent framework and shape its design.
You’ll work side-by-side with researchers, ML engineers, and leadership to turn ambitious ideas into real-world systems. Expect to move fast, handle ambiguity, and fill the critical execution gap between research and production.
📍 This is an onsite role based in our SF office (345 California St).
Your Focus
- Design new agentic systems in our framework that were previously infeasible elsewhere — and test their limits.
- Implement and evaluate open-source agentic systems (and customer-specific ones) within our framework.
- Identify and solve bottlenecks in today’s agent ecosystem (e.g. context engineering, MCP constraints, inter-agent communication, memory).
- Stay ahead of the curve by tracking new research and incorporating cutting-edge AI features as they’re released.
- Deep understanding of LLM architecture and inference-time optimisation.
- Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures).
- Track record of rapid prototyping in the LLM/agent space.
- Experience orchestrating and evaluating complex multi-agent systems.
- Solid software engineering skills in Python and/or TypeScript.
- Experience with autonomous, dynamic multi-agent systems (beyond DAGs).
- Context engineering expertise.
- Embedding models & RAG.
- Improving model performance via fine-tuning.
- Competitive salary early-stage equity package.
- High-trust, execution-first culture with minimal bureaucracy.
- Direct ownership of meaningful projects with tangible impact.
- A rare chance to work at the interface of deep research and real-world productization.
Read More About Symbolica
- https://fortune.com/2024/04/09/vinod-khosla-former-tesla-autopilot-engineer-ai-models/
- https://venturebeat.com/ai/move-over-deep-learning-symbolicas-structured-approach-could-transform-ai/
Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.
